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Gas Sensing in Cells

Gas Sensing in Cells

Abstract

Gas molecules such as O2, NO, CO and ethylene are present in the environment and are endogenously (enzymatically) produced to act as signalling molecules in biological systems, including the regulation of metabolic networks, chemotaxis, circadian rhythms, mammalian hypoxia responses, and plant ethylene responses by transcriptional, translational, or post translational control. Sensing these gas molecules is the first step in their acting as signalling molecules. When a sensor domain/protein senses an external signal, intra- and inter-molecular signal transductions take place to regulate the biological function of a regulatory domain/protein such as DNA-binding, enzymatic activity, or protein–protein interaction. Interaction between gas molecules and sensor proteins is essential for recognition of gas molecules. Metal-containing prosthetic groups such as haem, iron–sulfur clusters, and non-haem iron centres are widely used. As these metal-containing centres are good spectroscopic probes, detail characterizations have utilized spectroscopic techniques along with X-ray crystallography. Covering both the signalling and sensing of gaseous molecules, this book provides the first comprehensive overview of gas sensor proteins in both prokaryotic and eukaryotic cells. This book will be particularly interesting to postgraduates and researchers in biochemistry, molecular biology and metallobiology.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
Related to Research communities
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